Inverse problems arise whenever one tries to detect causes based on observations of their effect and have relevance in many fields like medical imaging, nondestructive testing of materials, and seismology to mention but a few. The advancement of the mathematical theory of inverse problems coupled with the development of artificial intelligence allows nowadays to bridge the gap between theory and practice which represents a breakthrough in applications. The purpose of this four-day workshop is to bring together leading experts in the field to discuss recent results and to open opportunities for collaboration among participants.
Elena Beretta, Clinical Professor of Mathematics, NYUAD
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